A Text Mining Approach to Characterizing Interpersonal Stress among
Individuals with a Nonsuicidal Self-Injury History
Abstract
Objective: Interpersonal difficulties are salient among those
with a history of NSSI and precede NSSI urges and behaviors. Yet,
limited research has focused on identifying which aspects of
interpersonal stress may confer risk for NSSI. Method: The
current study aimed to leverage data from two samples (combined
n=206; n=114 with NSSI history) of participant-driven
interviews regarding a recent interpersonal stressor to enhance the
field’s knowledge of interpersonal difficulties in relation to NSSI
risk. Results: Using topic modeling to extract thematic
information, analyses identified four main topics: daily difficulties;
family members; adjectives/verbal fillers; and friendship/romantic
relationships. Relationships between the topics and three predictors
(i.e., NSSI history, emotion dysregulation, sample) were examined. In
one sample, the proportion of ‘adjectives/verbal fillers’ was greater
for participants with a NSSI history and at higher levels of emotion
dysregulation. Across samples, for participants with a NSSI history,
‘adjectives/verbal fillers’ and ‘friendship/romantic partners’ increased
with levels of emotion dysregulation. Conclusion: Findings
highlight a greater use of adjectives and verbal fillers among
individuals with a history of NSSI and higher levels of emotion
dysregulation. This pattern of language may serve as an indicator of a
specific aspect of emotion regulation difficulties that confers risk for
NSSI.